20 citations · 42 across the 12 of their papers we have counts for
14 papers
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Alain Lalande, Zhihao Chen, Thibaut Pommier +30
A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization the…
On the ability to reconstruct ancestral genomes from Mycobacterium genus
Christophe Guyeux, Bashar Al-Nuaimi, Bassam AlKindy +2
Technical signs of progress during the last decades has led to a situation in which the accumulation of genome sequence data is increasingly fast and cheap. The huge amount of mole…
Improving Blind Steganalysis in Spatial Domain using a Criterion to Choose the Appropriate Steganalyzer between CNN and SRM+EC
Jean-Francois Couchot, Raphaël Couturier, Michel Salomon
Conventional state-of-the-art image steganalysis approaches usually consist of a classifier trained with features provided by rich image models. As both features extraction and cla…
Relation between Gene Content and Taxonomy in Chloroplasts
Bashar Al-Nuaimi, Christophe Guyeux, Bassam AlKindy +2
The aim of this study is to investigate the relation that can be found between the phylogeny of a large set of complete chloroplast genomes, and the evolution of gene content insid…
Binary Particle Swarm Optimization versus Hybrid Genetic Algorithm for Inferring Well Supported Phylogenetic Trees
Bassam AlKindy, Bashar Al-Nuaimi, Christophe Guyeux +4
The amount of completely sequenced chloroplast genomes increases rapidly every day, leading to the possibility to build large-scale phylogenetic trees of plant species. Considering…
Neural Networks and Chaos: Construction, Evaluation of Chaotic Networks, and Prediction of Chaos with Multilayer Feedforward Networks
Jacques M. Bahi, Jean-François Couchot, Christophe Guyeux +1
Many research works deal with chaotic neural networks for various fields of application. Unfortunately, up to now these networks are usually claimed to be chaotic without any mathe…
Protein Folding in the 2D Hydrophobic-Hydrophilic (HP) Square Lattice Model is Chaotic
Jacques M. Bahi, Nathalie Côté, Christophe Guyeux +1
Among the unsolved problems in computational biology, protein folding is one of the most interesting challenges. To study this folding, tools like neural networks and genetic algor…
Steganalysis via a Convolutional Neural Network using Large Convolution Filters for Embedding Process with Same Stego Key
Jean-François Couchot, Raphaël Couturier, Christophe Guyeux +1
For the past few years, in the race between image steganography and steganalysis, deep learning has emerged as a very promising alternative to steganalyzer approaches based on rich…
Improved Core Genes Prediction for Constructing well-supported Phylogenetic Trees in large sets of Plant Species
Bassam AlKindy, Huda Al-Nayyef, Christophe Guyeux +3
The way to infer well-supported phylogenetic trees that precisely reflect the evolutionary process is a challenging task that completely depends on the way the related core genes h…
Hybrid Genetic Algorithm and Lasso Test Approach for Inferring Well Supported Phylogenetic Trees based on Subsets of Chloroplastic Core Genes
Bassam AlKindy, Christophe Guyeux, Jean-François Couchot +3
The amount of completely sequenced chloroplast genomes increases rapidly every day, leading to the possibility to build large scale phylogenetic trees of plant species. Considering…
Gene Similarity-based Approaches for Determining Core-Genes of Chloroplasts
Bassam AlKindy, Christophe Guyeux, Jean-François Couchot +2
In computational biology and bioinformatics, the manner to understand evolution processes within various related organisms paid a lot of attention these last decades. However, accu…
Finding the Core-Genes of Chloroplasts
Bassam AlKindy, Jean-François Couchot, Christophe Guyeux +3
Due to the recent evolution of sequencing techniques, the number of available genomes is rising steadily, leading to the possibility to make large scale genomic comparison between…
Building a Chaotic Proved Neural Network
Jacques M. Bahi, Christophe Guyeux, Michel Salomon
Chaotic neural networks have received a great deal of attention these last years. In this paper we establish a precise correspondence between the so-called chaotic iterations and a…
Java Technology : a Strategic Solution for Interactive Distributed Applications
Husam Alustwani, Jacques M. Bahi, Ahmed Mostefaoui +1
In a world demanding the best performance from financial investments, distributed applications occupy the first place among the proposed solutions. This particularity is due to the…